Search Results - "Touriño, Juan"

SparkEC: speeding up alignment-based DNA error correction tools by Expósito, Roberto R., Martínez-Sánchez, Marco, Touriño, Juan

“…Abstract Background In recent years, huge improvements have been made in the context of sequencing genomic data under what is called Next Generation Sequencing…”
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PATO: genome-wide prediction of lncRNA–DNA triple helices by Amatria-Barral, Iñaki, González-Domínguez, Jorge, Touriño, Juan

“…Abstract Motivation Long non-coding RNA (lncRNA) plays a key role in many biological processes. For instance, lncRNA regulates chromatin using different…”
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SeQual-Stream: approaching stream processing to quality control of NGS datasets by Castellanos-Rodríguez, Óscar, Expósito, Roberto R, Touriño, Juan

“…Quality control of DNA sequences is an important data preprocessing step in many genomic analyses. However, all existing parallel tools for this purpose are…”
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Real-time resource scaling platform for Big Data workloads on serverless environments by Enes, Jonatan, Expósito, Roberto R., Touriño, Juan

“…The serverless execution paradigm is becoming an increasingly popular option when workloads are to be deployed in an abstracted way, more specifically, without…”
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pRIblast: A highly efficient parallel application for comprehensive lncRNA–RNA interaction prediction by Amatria-Barral, Iñaki, González-Domínguez, Jorge, Touriño, Juan

“…Long non-coding RNAs (lncRNAs) play a key role in several biological processes and scientists are constantly trying to come up with new strategies to elucidate…”
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Parallel-FST: A feature selection library for multicore clusters by Beceiro, Bieito, González-Domínguez, Jorge, Touriño, Juan

“…Feature selection is a subfield of machine learning focused on reducing the dimensionality of datasets by performing a computationally intensive process. This…”
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BDEv 3.0: Energy efficiency and microarchitectural characterization of Big Data processing frameworks by Veiga, Jorge, Enes, Jonatan, Expósito, Roberto R., Touriño, Juan

“…As the size of Big Data workloads keeps increasing, the evaluation of distributed frameworks becomes a crucial task in order to identify potential performance…”
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MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems by González-Domínguez, Jorge, Liu, Yongchao, Touriño, Juan, Schmidt, Bertil

“…MSAProbs is a state-of-the-art protein multiple sequence alignment tool based on hidden Markov models. It can achieve high alignment accuracy at the expense of…”
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Parallel feature selection for distributed-memory clusters by González-Domínguez, Jorge, Bolón-Canedo, Verónica, Freire, Borja, Touriño, Juan

“…•Feature selection is an important data mining stage in the field of machine learning.•Fast-mRMR-MPI, a tool to accelerate feature selection on clusters, is…”
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ParRADMeth: Identification of Differentially Methylated Regions on Multicore Clusters by Fernandez-Fraga, Alejandro, Gonzalez-Dominguez, Jorge, Tourino, Juan

“…The discovery of Differentially Methylated (DM) regions is an important research field in biology, as it can help to anticipate the risk of suffering from…”
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SMusket: Spark-based DNA error correction on distributed-memory systems by Expósito, Roberto R., González-Domínguez, Jorge, Touriño, Juan

“…Next-Generation Sequencing (NGS) technologies have revolutionized genomics research over the last decade, bringing new opportunities for scientists to perform…”
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Serverless-like platform for container-based YARN clusters by Castellanos-Rodríguez, Óscar, Expósito, Roberto R., Enes, Jonatan, Taboada, Guillermo L., Touriño, Juan

“…Serverless computing is an emerging paradigm that has gained a lot of relevance in recent years, as it allows users to consume computing resources without…”
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HSRA: Hadoop-based spliced read aligner for RNA sequencing data by Expósito, Roberto R, González-Domínguez, Jorge, Touriño, Juan

“…Nowadays, the analysis of transcriptome sequencing (RNA-seq) data has become the standard method for quantifying the levels of gene expression. In RNA-seq…”
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A pipeline architecture for feature-based unsupervised clustering using multivariate time series from HPC jobs by Enes, Jonatan, Expósito, Roberto R., Fuentes, José, Cacheiro, Javier López, Touriño, Juan

“…Time series are key across industrial and research areas for their ability to model behaviour across time, making them ideal for a wide range of use cases such…”
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CUDA acceleration of MI-based feature selection methods by Beceiro, Bieito, González-Domínguez, Jorge, Morán-Fernández, Laura, Bolón-Canedo, Verónica, Touriño, Juan

“…Feature selection algorithms are necessary nowadays for machine learning as they are capable of removing irrelevant and redundant information to reduce the…”
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Performance analysis of HPC applications in the cloud by Expósito, Roberto R., Taboada, Guillermo L., Ramos, Sabela, Touriño, Juan, Doallo, Ramón

“…The scalability of High Performance Computing (HPC) applications depends heavily on the efficient support of network communications in virtualized…”
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BDWatchdog: Real-time monitoring and profiling of Big Data applications and frameworks by Enes, Jonatan, Expósito, Roberto R., Touriño, Juan

“…Current Big Data applications are characterized by a heavy use of system resources (e.g., CPU, disk) generally distributed across a cluster. To effectively…”
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Parallel Pairwise Epistasis Detection on Heterogeneous Computing Architectures by Gonzalez-Dominguez, Jorge, Ramos, Sabela, Tourino, Juan, Schmidt, Bertil

“…Development of new methods to detect pairwise epistasis, such as SNP-SNP interactions, in Genome-Wide Association Studies is an important task in…”
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Flame-MR: An event-driven architecture for MapReduce applications by Veiga, Jorge, Expósito, Roberto R., Taboada, Guillermo L., Touriño, Juan

“…Nowadays, many organizations analyze their data with the MapReduce paradigm, most of them using the popular Apache Hadoop framework. As the data size managed…”
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Enhancing in-memory efficiency for MapReduce-based data processing by Veiga, Jorge, Expósito, Roberto R., Taboada, Guillermo L., Touriño, Juan

“…As the memory capacity of computational systems increases, the in-memory data management of Big Data processing frameworks becomes more crucial for…”
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